{"id":"W3044027650","doi":"10.3389/fpls.2020.01126","title":"CRISPR/Cas9 Gene Editing: An Unexplored Frontier for Forest Pathology","year":2020,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"Natural Resources Canada; FPInnovations; Canadian Food Inspection Agency; Genome Canada","keywords":"CRISPR; Genome editing; Cas9; Biology; Computational biology; Gene; Plasmid; Trans-activating crRNA; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005114645,0.000408446,0.0009083171,0.0002734516,0.0001271894,0.00006326765,0.001004028,0.0003460755,0.000001617047],"category_scores_gemma":[0.0002570073,0.0003799921,0.0002155609,0.0003825513,0.0002835472,0.00001333941,0.0002129006,0.0002332137,0.000002998464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006383213,"about_ca_system_score_gemma":0.0004053863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004204715,"about_ca_topic_score_gemma":0.00001770004,"domain_scores_codex":[0.9974766,0.00005215208,0.000494421,0.001089361,0.0002219843,0.000665457],"domain_scores_gemma":[0.9989871,0.00001523937,0.0001740738,0.0005333227,0.00005619172,0.0002340617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000789206,0.0001118403,0.0004504762,0.003184345,0.0001110646,0.0001908417,0.0002649496,0.0004807345,0.003153739,0.00009239919,0.05382457,0.9380561],"study_design_scores_gemma":[0.0002616117,0.0002297847,0.0000226695,0.0003339152,0.00009214564,0.0001137499,0.00008672102,0.001281581,0.0009231585,0.00005831534,0.9961335,0.0004628672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001103245,0.8160275,0.1793957,0.00002055057,0.003196617,0.0006879201,0.00047781,0.00002177508,0.00006180934],"genre_scores_gemma":[0.0002182714,0.9507745,0.04634123,0.00006736681,0.001019033,0.0002378993,0.001202315,0.00006262391,0.00007678151],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9423089,"threshold_uncertainty_score":0.9998652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445535397690733,"score_gpt":0.3304654170951726,"score_spread":0.3060100631182653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}